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» A statistical approach to rule learning
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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 4 months ago
Noise Modeling with Associative Corruption Rules
This paper presents an active learning approach to the problem of systematic noise inference and noise elimination, specifically the inference of Associated Corruption (AC) rules...
Yan Zhang, Xindong Wu
PKDD
2005
Springer
109views Data Mining» more  PKDD 2005»
14 years 3 months ago
An Imbalanced Data Rule Learner
Imbalanced data learning has recently begun to receive much attention from research and industrial communities as traditional machine learners no longer give satisfactory results. ...
Canh Hao Nguyen, Tu Bao Ho
EMNLP
2004
13 years 11 months ago
Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging
Starting from first principles, we re-visit the statistical approach and study two forms of the Bayes decision rule: the common rule for minimizing the number of string errors and...
Hermann Ney, Maja Popovic, David Sündermann
COLING
2002
13 years 10 months ago
The Computation of Word Associations: Comparing Syntagmatic and Paradigmatic Approaches
It is shown that basic language processes such as the production of free word associations and the generation of synonyms can be simulated using statistical models that analyze th...
Reinhard Rapp
ISCI
1998
139views more  ISCI 1998»
13 years 9 months ago
A Rough Set Approach to Attribute Generalization in Data Mining
This paper presents a method for updating approximations of a concept incrementally. The results can be used to implement a quasi-incremental algorithm for learning classification...
Chien-Chung Chan